echonoshy/cgft-llm
Chinese-language hands-on tutorial series for learning and building large language models and agent systems.
Not currently ranked — collecting fresh signals.
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A practical learning project on LLMs with video tutorials and Jupyter notebooks covering agent architectures, core LLM technologies, and hands-on implementations. The project is structured into multiple series including Agent systems, core LLM techniques, open-source contributions, and AI project explorations. It provides documentation and video links for self-paced learning of LLM development.
Frequently asked
- What is echonoshy/cgft-llm?
- Chinese-language hands-on tutorial series for learning and building large language models and agent systems.
- Is cgft-llm open source?
- Yes — echonoshy/cgft-llm is open source, released under the MIT license.
- What language is cgft-llm written in?
- echonoshy/cgft-llm is primarily written in Jupyter Notebook.
- How popular is cgft-llm?
- echonoshy/cgft-llm has 2.4k stars on GitHub.
- Where can I find cgft-llm?
- echonoshy/cgft-llm is on GitHub at https://github.com/echonoshy/cgft-llm.